Computational Systems Biology: Inference and Modelling provides an
introduction to, and overview of, network analysis inference
approaches which form the backbone of the model of the complex
behavior of biological systems. This book addresses the challenge
to integrate highly diverse quantitative approaches into a unified
framework by highlighting the relationships existing among network
analysis, inference, and modeling. The chapters are light in jargon
and technical detail so as to make them accessible to the
non-specialist reader. The book is addressed at the heterogeneous
public of modelers, biologists, and computer scientists.
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